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djsull/aha_class_v1

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README.md CHANGED
@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0040
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- - F1: 1.0
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- - Roc Auc: 1.0
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- - Accuracy: 1.0
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
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- | No log | 1.0 | 35 | 0.0529 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 70 | 0.0152 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 105 | 0.0090 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 140 | 0.0065 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 175 | 0.0052 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 210 | 0.0045 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 245 | 0.0041 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 280 | 0.0040 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0464
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+ - F1: 0.99
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+ - Roc Auc: 0.99
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+ - Accuracy: 0.99
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 36 | 0.1850 | 0.9500 | 0.95 | 0.95 |
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+ | No log | 2.0 | 72 | 0.1223 | 0.96 | 0.96 | 0.96 |
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+ | No log | 3.0 | 108 | 0.0464 | 0.99 | 0.99 | 0.99 |
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+ | No log | 4.0 | 144 | 0.0509 | 0.99 | 0.99 | 0.99 |
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+ | No log | 5.0 | 180 | 0.0855 | 0.98 | 0.98 | 0.98 |
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+ | No log | 6.0 | 216 | 0.0898 | 0.98 | 0.98 | 0.98 |
 
 
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  ### Framework versions
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